GPT-5.1-Codex

GPT-3.5 Turbo

OpenAI's most capable and cost effective model in the GPT-3.5 family optimized for chat purposes, but also works well for traditional completions tasks.

GPT-3.5 Turbo Instruct

Similar capabilities as GPT-3 era models. Compatible with legacy Completions endpoint and not Chat Completions.

GPT-4 Turbo

gpt-4-turbo from OpenAI has broad general knowledge and domain expertise allowing it to follow complex instructions in natural language and solve difficult problems accurately. It has a knowledge cutoff of April 2023 and a 128,000 token context window.

GPT-4.1

GPT 4.1 is OpenAI's flagship model for complex tasks. It is well suited for problem solving across domains.

GPT-4.1 mini

GPT 4.1 mini provides a balance between intelligence, speed, and cost that makes it an attractive model for many use cases.

GPT-4.1 nano

GPT-4.1 nano is the fastest, most cost-effective GPT 4.1 model.

GPT-4o

GPT-4o from OpenAI has broad general knowledge and domain expertise allowing it to follow complex instructions in natural language and solve difficult problems accurately. It matches GPT-4 Turbo performance with a faster and cheaper API.

GPT-4o mini

GPT-4o mini from OpenAI is their most advanced and cost-efficient small model. It is multi-modal (accepting text or image inputs and outputting text) and has higher intelligence than gpt-3.5-turbo but is just as fast.

GPT-5

GPT-5 is OpenAI's flagship language model that excels at complex reasoning, broad real-world knowledge, code-intensive, and multi-step agentic tasks.

GPT-5 Chat

GPT-5 Chat points to the GPT-5 snapshot currently used in ChatGPT.

GPT-5-Codex

GPT-5-Codex is a version of GPT-5 optimized for agentic coding tasks in Codex or similar environments.

GPT-5 mini

GPT-5 mini is a cost optimized model that excels at reasoning/chat tasks. It offers an optimal balance between speed, cost, and capability.

GPT-5 nano

GPT-5 nano is a high throughput model that excels at simple instruction or classification tasks.

GPT-5 pro

GPT-5 pro uses more compute to think harder and provide consistently better answers. Since GPT-5 pro is designed to tackle tough problems, some requests may take several minutes to finish.

GPT-5.1 Codex mini

GPT-5.1 Codex mini is a smaller, faster, and cheaper version of GPT-5.1 Codex.

GPT-5.1 Instant

GPT-5.1 Instant (or GPT-5.1 chat) is a warmer and more conversational version of GPT-5-chat, with improved instruction following and adaptive reasoning for deciding when to think before responding.

GPT 5.1 Thinking

An upgraded version of GPT-5 that adapts thinking time more precisely to the question to spend more time on complex questions and respond more quickly to simpler tasks.

gpt-oss-120b

Extremely capable general-purpose LLM with strong, controllable reasoning capabilities

gpt-oss-20b

A compact, open-weight language model optimized for low-latency and resource-constrained environments, including local and edge deployments

gpt-oss-safeguard-20b

OpenAI's first open weight reasoning model specifically trained for safety classification tasks. Fine-tuned from GPT-OSS, this model helps classify text content based on customizable policies, enabling bring-your-own-policy Trust & Safety AI where your own taxonomy, definitions, and thresholds guide classification decisions.

o1

o1 is OpenAI's flagship reasoning model, designed for complex problems that require deep thinking. It provides strong reasoning capabilities with improved accuracy for complex multi-step tasks.

o3

OpenAI's o3 is their most powerful reasoning model, setting new state-of-the-art benchmarks in coding, math, science, and visual perception. It excels at complex queries requiring multi-faceted analysis, with particular strength in analyzing images, charts, and graphics.

o3-deep-research

o3-deep-research is OpenAI's most advanced model for deep research, designed to tackle complex, multi-step research tasks. It can search and synthesize information from across the internet as well as from your own data—brought in through MCP connectors.

o3-mini

o3-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini.

o4-mini

OpenAI's o4-mini delivers fast, cost-efficient reasoning with exceptional performance for its size, particularly excelling in math (best-performing on AIME benchmarks), coding, and visual tasks.

text-embedding-3-large

OpenAI's most capable embedding model for both english and non-english tasks.

text-embedding-3-small

OpenAI's improved, more performant version of their ada embedding model.

text-embedding-ada-002

OpenAI's legacy text embedding model.